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Selective Learning: Towards Robust Calibration with Dynamic
  Regularization

Selective Learning: Towards Robust Calibration with Dynamic Regularization

13 February 2024
Zongbo Han
Yifeng Yang
Changqing Zhang
Linjun Zhang
Qiufeng Wang
Qinghua Hu
ArXivPDFHTML

Papers citing "Selective Learning: Towards Robust Calibration with Dynamic Regularization"

16 / 16 papers shown
Title
Change is Hard: A Closer Look at Subpopulation Shift
Change is Hard: A Closer Look at Subpopulation Shift
Yuzhe Yang
Haoran Zhang
Dina Katabi
Marzyeh Ghassemi
OOD
30
99
0
23 Feb 2023
AdaFocal: Calibration-aware Adaptive Focal Loss
AdaFocal: Calibration-aware Adaptive Focal Loss
Arindam Ghosh
Thomas Schaaf
Matthew R. Gormley
FedML
UQCV
51
27
0
21 Nov 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular
  data
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
Nabeel Seedat
Jonathan Crabbé
Ioana Bica
M. Schaar
32
24
0
24 Oct 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming
Ying Fan
Yixuan Li
OODD
61
116
0
28 Jun 2022
Robust Calibration with Multi-domain Temperature Scaling
Robust Calibration with Multi-domain Temperature Scaling
Yaodong Yu
Stephen Bates
Yi-An Ma
Michael I. Jordan
OOD
UQCV
48
33
0
06 Jun 2022
Mitigating Neural Network Overconfidence with Logit Normalization
Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei
Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Yixuan Li
OODD
195
274
0
19 May 2022
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
201
1,332
0
08 Oct 2020
Calibrating Deep Neural Networks using Focal Loss
Calibrating Deep Neural Networks using Focal Loss
Jishnu Mukhoti
Viveka Kulharia
Amartya Sanyal
Stuart Golodetz
Philip Torr
P. Dokania
UQCV
69
454
0
21 Feb 2020
When Does Label Smoothing Help?
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
125
1,931
0
06 Jun 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
572
4,735
0
13 May 2019
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
95
723
0
12 Dec 2018
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
103
1,467
0
11 Dec 2018
How Complex is your classification problem? A survey on measuring
  classification complexity
How Complex is your classification problem? A survey on measuring classification complexity
A. C. Lorena
L. P. F. Garcia
Jens Lehmann
M. D. Souto
T. Ho
27
232
0
10 Aug 2018
Predictive Uncertainty Estimation via Prior Networks
Predictive Uncertainty Estimation via Prior Networks
A. Malinin
Mark Gales
UD
BDL
EDL
UQCV
PER
162
907
0
28 Feb 2018
Selective Classification for Deep Neural Networks
Selective Classification for Deep Neural Networks
Yonatan Geifman
Ran El-Yaniv
CVBM
77
522
0
23 May 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
611
36,599
0
25 Aug 2016
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